With 5G on the verge of being adopted as the next mobile network, there is a need to analyze its impact on the landscape of computing and data management. In this paper, we analyze the impact of 5G on both traditional and emerging technologies and project our view on future research challenges and opportunities. With a predicted increase of 10-100x in bandwidth and 5-10x decrease in latency, 5G is expected to be the main enabler for smart cities, smart IoT and efficient healthcare, where machine learning is conducted at the edge. In this context, we investigate how 5G can help the development of federated learning. Network slicing, another key feature of 5G, allows running multiple isolated networks on the same physical infrastructure. However, security remains the main concern in the context of virtualization, multi-tenancy and high device density. Formal verification of 5G networks can be applied to detect security issues in massive virtualized environments. In summary, 5G will make the world even more densely and closely connected. What we have experienced in 4G connectivity will pale in comparison to the vast amounts of possibilities engendered by 5G.

中文翻译：

---

5G 对数据驱动技术和应用的颠覆

随着 5G 即将被用作下一个移动网络，有必要分析其对计算和数据管理领域的影响。在本文中，我们分析了 5G 对传统和新兴技术的影响，并对未来的研究挑战和机遇提出了看法。预计随着带宽增加 10-100 倍和延迟减少 5-10 倍，5G 有望成为智慧城市、智能物联网和高效医疗保健的主要推动者，其中机器学习在边缘进行。在这种情况下，我们研究了 5G 如何帮助联邦学习的发展。网络切片是 5G 的另一个关键特性，它允许在同一物理基础设施上运行多个隔离网络。然而，安全性仍然是虚拟化环境中的主要问题，多租户和高设备密度。5G 网络的形式验证可用于检测大规模虚拟化环境中的安全问题。综上所述，5G将使世界变得更加密集、紧密。与 5G 产生的大量可能性相比，我们在 4G 连接中所经历的将显得苍白无力。